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README.md
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<center>
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<h3>Welcome to llawa</h3>
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</center>
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The models in this repo are Llama2 7b chat models further fine-tuned with Wasm-related Q&As.
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Instead of struggling with Python and PyTorch, the simplest way to run them on your own laptops, servers, or edge devices is to use the [WasmEdge Runtime](https://github.com/WasmEdge/WasmEdge).
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1. Install WasmEdge
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<center>
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<h3>Welcome to llawa</h3>
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<img src="https://huggingface.co/juntaoyuan/llawa/resolve/main/llawa-logo.png"/>
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<br/><i>a.k.a Llama2 + Wasm QA</i>
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</center>
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The models in this repo are Llama2 7b chat models further fine-tuned with Wasm-related Q&As.
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Instead of struggling with Python and PyTorch, the simplest way to run them on your own laptops, servers, or edge devices is to use the [WasmEdge Runtime](https://github.com/WasmEdge/WasmEdge).
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Learn more about this [fast, lightweight, portable, and ZERO Python dependency approach](https://medium.com/stackademic/fast-and-portable-llama2-inference-on-the-heterogeneous-edge-a62508e82359) for running AI applications!
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1. Install WasmEdge
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